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llm-agents

scholar-evaluation

2.8k starsUpdated 2026-01-03
Compatible with:claude

Description

Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.

How to Use

  1. Visit the GitHub repository to get the SKILL.md file
  2. Copy the file to your project root or .cursor/rules directory
  3. Restart your AI assistant or editor to apply the new skill

Tags

#scholar-evaluation#claude

About scholar-evaluation

scholar-evaluation is an AI skill in the llm-agents category, designed to help developers and users work more effectively with AI tools. Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.

This skill has earned 2,800 stars on GitHub, reflecting strong community adoption and trust. It is compatible with claude.

Key Capabilities

scholar evaluation
claude

Why Use scholar-evaluation

Adding scholar-evaluation to your AI workflow can significantly enhance your productivity in llm-agents tasks. With pre-defined prompt templates and best practices, this skill helps AI assistants better understand your requirements and deliver more accurate responses.

Whether you use claude, you can easily integrate this skill into your existing development environment.

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